Final Project

Group 1:

  • Nathania Stephens

  • Hiba Awan

Abstract

Introduction & Background

Motivation/ Purpose

Goals/ Objectives

Data

Overview

About the Data

Limitations and Assumptions

Cleaning and Transformation

Exploratory Analysis

Mapping the arrest data for a geospatial visual of where arrest occur.

── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
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✔ lubridate 1.9.4     ✔ tidyr     1.3.1
✔ purrr     1.1.0     
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ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
Linking to GEOS 3.13.1, GDAL 3.11.0, PROJ 9.6.0; sf_use_s2() is TRUE


Attaching package: 'scales'


The following object is masked from 'package:purrr':

    discard


The following object is masked from 'package:readr':

    col_factor
Reading layer `Supervisor_Districts' from data source 
  `C:\Users\Nat\OneDrive - George Mason University - O365 Production\Git\nathaniams.github.io\Supervisor_Districts\Supervisor_Districts.shp' 
  using driver `ESRI Shapefile'
Simple feature collection with 9 features and 12 fields
Geometry type: MULTIPOLYGON
Dimension:     XY
Bounding box:  xmin: 11757190 ymin: 6905421 xmax: 11899000 ymax: 7070364
Projected CRS: NAD83 / Virginia North (ftUS)

Research Questions

  1. Is there an association between gender and warnings?

Conclusion

References